Genomics Data Operations Engineer
Core
Transforming large-scale genetic and genomic datasets into trusted, analysis-ready resources for drug discovery and predictive healthcare.
Role type
Data Operations Engineer (Genomics)
Builds
Genomic datasets (GWAS summary statistics, individual-level genotype/phenotype data) for commercial products and internal science
Domain
Biotech / Genomics / Data Engineering
Deliverable
production ML models | product features
Required skills
Python, Unix/Linux, statistical genetics, data quality control, pipeline scripting, schema design
Preferred skills
Bioinformatics, computational biology, human genetics
Technologies
Linux, Python, automated pipelines
Responsibilities
Ingest large-scale genetic datasets via scripting and automated pipelines; interpret QC metrics and resolve data-quality anomalies; configure workflow parameters and curate dataset metadata; collaborate with software engineers to improve ingestion and QC processes; contribute to schema design for new data types.
Seniority
Mid-level, hands-on IC
